A Multi-agent Scheduler for Rent-a-Car Companies

Andreev, Slava; Rzevski, George; Shviekin, Peter; Скобелев, П. О.; Yankov, Igor

doi:10.1007/978-3-642-03668-2_30

Cited by 16 publications

(9 citation statements)

References 5 publications

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“…There is a well-developed theory of complex systems [1][2][3][4], which provides rich variety of methods and tools for modelling and managing complexity [5], and documented experience in applying these methods and tools to variety of business and engineering problems, including real-time space logistics [6], real-time aircraft life cycle management [7], real-time supply chain management [8], real-time taxi scheduling [9], real-time car rental scheduling [10] and many others.…”

Section: Complexity Science Basicsmentioning

confidence: 99%

Intelligent adaptive schedulers for railways

Rzevski¹,

Скобелев²

2017

Int. J. TDI

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railway operation can be perceived as a complex system consisting of thousands of constituent elements, including demands for transportation and a variety of transportation resources, such as tracks, track blocks, stations, sidings, trains, crews, etc. Overall behaviour of a railway operation is characterized by unpredictable disruptive events such as changes in availability of resources due to failures, weather conditions or human errors. In addition transportation demands tend to change over time whilst changing transportation resources, such as tracks, is not always possible or practical. The key task of railway management is the allocation of transportation resources to transportation demands with a goal of achieving a complete match, ensuring a smooth operation. The difficulty of this task primarily depends on the variability of demand and reliability of resources, in particular, tracks, trains and human resources. The paper describes how to design complex adaptive railway schedulers, which allocate resources to demands in real time and ensure rapid rescheduling in reaction to unpredictable disruptive events.

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Section: Complexity Science Basicsmentioning

confidence: 99%

Intelligent adaptive schedulers for railways

Rzevski¹,

Скобелев²

2017

Int. J. TDI

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“…To achieve desired adaptability, complexity of software must be tuned and tuning heuristics is derived and polished through experimentation and experience. 6 RESULTS Elementary services listed in Section 4 of this paper have been thoroughly tested in various commercial applications, many of which are in continuous use, as exemplified by: Real-Time Scheduling of Cargo Delivery to International Space Station [8]; Real-Time Evaluation of Design Consistency [8]; Real-Time Scheduling of Supply Chains for LEGO [9]; Real-Time Scheduling of 2,000 Taxis in London [10]; Real-Time Scheduling of Car Rentals [11]; Real-Time Scheduling of Road Transportation [12,13]; Real-Time Scheduling of Production [14,15]; Real-Time Scheduling of Servicing Personnel [16]; Real-Time Scheduling of Mainline Railways [17] and Modelling of Aircraft Functionability [18].…”

Section: Technology For Designing Complex Adaptive Servicesmentioning

confidence: 99%

Managing aircraft lifecycle complexity

Rzevski¹,

Knežević²,

Скобелев³

et al. 2016

Int. J. DNE

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A thorough analysis of data on aircraft lifecycle revealed inadequacy of current lifecycle management methods in the face of increased complexity of the Internet-based global market. A new method for managing lifecycle has been developed by authors and their teams using concepts and principles of the emerging complexity science with the aim of reducing lead times and costs. Centralised control has been replaced with distributed decision-making empowering all lifecycle stakeholders. The solution described in this paper is the first of its kind and it represents a genuine advance in knowledge, which leads to considerable reduction in design/production lead times and decrease in the lifecycle cost. The method has been validated in a variety of applications. Keywords: aircraft, complex adaptive systems, complexity, lifecycle management, real-time spare parts management. INTRODUCTIONThe lifecycle of a large aerospace product such as an airliner or a military aircraft consists of a very large number of interconnected activities, which are normally partitioned into several phases such as: Design, Production, Operation and Decommissioning. Each phase of the lifecycle consists of activities as outlined below.Design consists of all activities needed to produce, operate and recycle a product, including: market research, requirements specification, conception, design management, overall design (including design for X, where X is performance, safety, reliability, operability, manufacturing, assembly, maintainability and recycling) and design of components.Production includes the selection and development of production technologies, production planning and management, supply of materials and components, manufacturing, assembly, testing and quality assurance.Operation includes the scheduling and management of the use of aircraft and its crew within a fleet; the maintenance and repair tasks and resources; and the logistics support tasks and resources.Decommissioning includes safe disposal and recycling of components and/or materials. The current practice is to consider each phase of the lifecycle separately managed by a different team of specialists, often from different organisations, with a limited interaction between them. As a rule, there is no central lifecycle management team charged with coordinating all activities from the creation of the idea of the future product to its disposal and recycling. Moreover, each phase of the lifecycle is normally supported by stand-alone computer systems, such as computer-aided design, computer-aided engineering, computer-aided manufacturing, enterprise resource planning and various production and logistic schedulers, which are rarely fully compatible with each other and never integrated into a single lifecycle system.Partitioning of lifecycle activities into individual phases and managing each phase by different management systems supported by stand-alone computer systems weakens important connections between key lifecycle activities and thus delays useful flow of information, p...

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“…Car rental is a modern need which has arisen in recent years due to the advanced and demanding rhythms of life (Zhang, Xie, Huang & He, 2014).Rent a car companies have a large branch of activity which, depending on the type of leases it carries out, is directly or indirectly related to the tourism sector, creating a large amount of income and providing jobs (Andreev, Rzevski, Shviekin, Skobelev & Yankor, 2009).…”

Section: Introductionmentioning

confidence: 99%

The role of car rental business in travel and tourism industry: A Case study of rent a car companies in Lefkada Island

Kalli

Avramopoulos

2023

ICBE-HOU

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The present research refers to the role of car rental in the travel industry with a case study on the island of Lefkada. The agencies in the car rental industry have received a great deal of attention in recent years, due to the fact that they have shown immense growth in and out of Greece. In Greece, the car rental industry is most often associated with tourism as it presents the largest turnover of tourists-customers. In the present paper, rent-a-car agencies in the island of Lefkada are canvassed in the literature and research field with the aim of drawing conclusions in relation to their basic features and the quantitative and quality depiction of their workforce. Regarding the research process, a quantitative and qualitative research was carried out. The main tool used in the quantitative research was the questionnaire which was distributed to agencies operating in the field of the car rental industry in the island of Lefkada. The tool of the qualitative research was the interview, which took place in three agencies through face-to-face meetings with their executives. The results indicated that the course of the Greek car rental market, in recent years, is on the rise, which creates a positive climate for the development and progress of the industry. Finally, certain suggestions for future research based on the conclusions are the study on European Funds and NSRF programs for the purchase of electric cars and the simplification of procedures, i.e. the automatization of most actions such as online check. JEL Classifications: L83, L91, M21 Key words: short-term vehicle leases, vehicle rental, types of vehicle leases, management of car rental agencies.

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A Multi-agent Scheduler for Rent-a-Car Companies

Cited by 16 publications

References 5 publications

Intelligent adaptive schedulers for railways

Intelligent adaptive schedulers for railways

Managing aircraft lifecycle complexity

The role of car rental business in travel and tourism industry: A Case study of rent a car companies in Lefkada Island

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